Difference between revisions of "Spatial Computing"

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# the machines can learn about our the reality where humans and other objects exist,
 
# the machines can learn about our the reality where humans and other objects exist,
 
# the machines can create new images composed of those real objects together with objects of its own devising.
 
# the machines can create new images composed of those real objects together with objects of its own devising.
By then end of 2023 public attention had been on virtual and augmented reality (VR and AR aka XR) where the machines had full control and the humans were just visors. This is the cyberspace of science fiction and the focus of game playing. But that is not where most people want to spend their lives. The future belongs to rich interactions between human and computer with the human controlling the ecosystem and the machine just a helper. In some cases the machine may exist in some artificial body interacting with the human, but that is not to most likely way for the new machine-aided [[Ecosystem]] to evolve.
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By then end of 2023 public attention had been on virtual and augmented reality (VR and AR aka XR) where the machines had full control and the humans were just visitors. This is the cyberspace of science fiction and the focus of game playing. But that is not where most people want to spend their lives. The future belongs to rich interactions between human and computer with the human controlling the ecosystem and the machine just a helper. In some cases the machine may exist in some artificial body interacting with the human, but that is not to most likely way for the new machine-aided [[Ecosystem]] to evolve.
  
 
==References ==
 
==References ==
  
 
[[Category: User Experience]]
 
[[Category: User Experience]]

Revision as of 16:41, 19 January 2024

Full Title or Meme

Spatial Computing is human interaction with a machine in which the machine retains and manipulates referents to real objects and spaces.

Context

First introduced by Simon Greenwold in his MIT Thesis of the same name.[1] "It is an essential component for making our machines fuller partners in our work and play." It is clear that our machine's ability of both read spacial data from the environment and display other spacial data to the user has continued to grow throughout the 21st century. There are two major changes in out relationship to our machines:

  1. the machines can learn about our the reality where humans and other objects exist,
  2. the machines can create new images composed of those real objects together with objects of its own devising.

By then end of 2023 public attention had been on virtual and augmented reality (VR and AR aka XR) where the machines had full control and the humans were just visitors. This is the cyberspace of science fiction and the focus of game playing. But that is not where most people want to spend their lives. The future belongs to rich interactions between human and computer with the human controlling the ecosystem and the machine just a helper. In some cases the machine may exist in some artificial body interacting with the human, but that is not to most likely way for the new machine-aided Ecosystem to evolve.

References

  1. Simon Greenwold, Spatial Computing MIT Thesis (2003-05) https://acg.media.mit.edu/people/simong/thesis/SpatialComputing.pdf